Jun Takahashi

11.9k citations
112 papers · 8.2k indexed · 3 hit papers · h-index 38
Topics
Pluripotent Stem Cells Research (54 papers)Neurogenesis and neuroplasticity mechanisms (32 papers)CRISPR and Genetic Engineering (23 papers)
Partner nations
JapanUnited StatesSweden

In The Last Decade

Jun Takahashi

105 papers receiving 8.1k citations

Hit Papers

A ROCK inhibitor permits survival of dissociated human em...200720262013201920072017201450010001.5k

Peers

Jun Takahashi
Comparison fields: 5 of 129
  • Molecular Biology 6.1k
  • Cellular and Molecular Neuroscience 2.5k
  • Developmental Neuroscience 1.7k
  • Biomedical Engineering 1.4k
  • Surgery 886
Replace Su‐Chun Zhang with:
Su‐Chun Zhang United States
Malin Parmar Sweden
Oliver Brüstle Germany
Mark Tomishima United States
Vania Broccoli Italy
Asuka Morizane Japan
Alberto Martínez‐Serrano Spain
Zhiping P. Pang United States
Sergiu P. Pașca United States
Luciano Conti Italy
Jun Takahashi relative to Su‐Chun Zhang United States Su‐Chun Zhang's profile →
Citations per field
00.5×1.6×
Su‐Chun Zhang · 1×
Citations per year

Countries citing papers authored by Jun Takahashi

Since Specialization
Citations

This map shows the geographic impact of Jun Takahashi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun Takahashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Takahashi more than expected).

Fields of papers citing papers by Jun Takahashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Takahashi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun Takahashi. The network helps show where Jun Takahashi may publish in the future.

Co-authorship network of co-authors of Jun Takahashi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Takahashi. A scholar is included among the top collaborators of Jun Takahashi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Takahashi. Jun Takahashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 0
4 0
5 7
6 38
7 60
8 11
9 41
10 7
11 1
12 31
13 35
14 21
15 31
16
Using gene expression profiling to identify a prognostic molecular spectrum in gliomas
1
17 29
18 53
19 216
20 228

About Jun Takahashi

Jun Takahashi is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 112 papers that have together received 8.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (54 papers), Neurogenesis and neuroplasticity mechanisms (32 papers) and CRISPR and Genetic Engineering (23 papers). The work is most often cited by research in Developmental Neuroscience (1.7k citations), Cellular and Molecular Neuroscience (2.5k citations) and Molecular Biology (6.1k citations). Jun Takahashi has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Asuka Morizane, Yoshiki Sasai, Daisuke Doi, Fred H. Gage, Kiichi Watanabe, Tetsuhiro Kikuchi, Theo D. Palmer, Keiko Muguruma, Takafumi Wataya and Morio Ueno. Their work appears in journals such as Nature, Science and Cell.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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